Physics-informed neural networks for solving nonlinear diffusivity and Biot's equations.

Due to the stochastic behavior of the training procedure of the neural networks, we calculate the results as an average over many realizations as it otherwise might be difficult to observe a clear trend of the relative L 2 error as a function of the number of training examples (see Panel A of Table 1 ).

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